424 related articles for article (PubMed ID: 11781760)
1. Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population.
Berber A; Gómez-Santos R; Fanghänel G; Sánchez-Reyes L
Int J Obes Relat Metab Disord; 2001 Dec; 25(12):1794-9. PubMed ID: 11781760
[TBL] [Abstract][Full Text] [Related]
2. Anthropometric cutoff points for predicting chronic diseases in the Mexican National Health Survey 2000.
Sánchez-Castillo CP; Velázquez-Monroy O; Berber A; Lara-Esqueda A; Tapia-Conyer R; James WP;
Obes Res; 2003 Mar; 11(3):442-51. PubMed ID: 12634443
[TBL] [Abstract][Full Text] [Related]
3. Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan.
Lin WY; Lee LT; Chen CY; Lo H; Hsia HH; Liu IL; Lin RS; Shau WY; Huang KC
Int J Obes Relat Metab Disord; 2002 Sep; 26(9):1232-8. PubMed ID: 12187401
[TBL] [Abstract][Full Text] [Related]
4. Is waist circumference a useful measure in predicting health outcomes in the elderly?
Woo J; Ho SC; Yu AL; Sham A
Int J Obes Relat Metab Disord; 2002 Oct; 26(10):1349-55. PubMed ID: 12355330
[TBL] [Abstract][Full Text] [Related]
5. Detection of cardiovascular risk factors by anthropometric measures in Tehranian adults: receiver operating characteristic (ROC) curve analysis.
Mirmiran P; Esmaillzadeh A; Azizi F
Eur J Clin Nutr; 2004 Aug; 58(8):1110-8. PubMed ID: 15280905
[TBL] [Abstract][Full Text] [Related]
6. Waist circumference cut-off points for identification of abdominal obesity among the tunisian adult population.
Bouguerra R; Alberti H; Smida H; Salem LB; Rayana CB; El Atti J; Achour A; Gaigi S; Slama CB; Zouari B; Alberti KG
Diabetes Obes Metab; 2007 Nov; 9(6):859-68. PubMed ID: 17924868
[TBL] [Abstract][Full Text] [Related]
7. A comparative evaluation of waist circumference, waist-to-hip ratio, waist-to-height ratio and body mass index as indicators of impaired glucose tolerance and as risk factors for type-2 diabetes mellitus.
Łopatyński J; Mardarowicz G; Szcześniak G
Ann Univ Mariae Curie Sklodowska Med; 2003; 58(1):413-9. PubMed ID: 15315025
[TBL] [Abstract][Full Text] [Related]
8. Anthropometric indices as screening tools for cardiovascular risk factors in Singaporean women.
Pua YH; Ong PH
Asia Pac J Clin Nutr; 2005; 14(1):74-9. PubMed ID: 15734711
[TBL] [Abstract][Full Text] [Related]
9. [A discussion on utility and purposed value of obesity and abdomen obesity when body mass index, waist circumference, waist to hip ratio used as indexes predicting hypertension and hyper-blood glucose].
Wang W; Wang K; Li T; Xiang H; Ma L; Fu Z; Chen J; Liu Z; Bai J; Feng J; Jin S; Li Y; Qin R; Chen H
Zhonghua Liu Xing Bing Xue Za Zhi; 2002 Feb; 23(1):16-9. PubMed ID: 12015102
[TBL] [Abstract][Full Text] [Related]
10. Obesity in the elderly and its relationship with cardiovascular risk factors in Taiwan.
Huang KC; Lee MS; Lee SD; Chang YH; Lin YC; Tu SH; Pan WH
Obes Res; 2005 Jan; 13(1):170-8. PubMed ID: 15761177
[TBL] [Abstract][Full Text] [Related]
11. Waist circumference, waist-hip ratio and body mass index and their correlation with cardiovascular disease risk factors in Australian adults.
Dalton M; Cameron AJ; Zimmet PZ; Shaw JE; Jolley D; Dunstan DW; Welborn TA;
J Intern Med; 2003 Dec; 254(6):555-63. PubMed ID: 14641796
[TBL] [Abstract][Full Text] [Related]
12. Cut-off values for anthropometric variables that confer increased risk of type 2 diabetes mellitus and hypertension in Iraq.
Mansour AA; Al-Jazairi MI
Arch Med Res; 2007 Feb; 38(2):253-8. PubMed ID: 17227737
[TBL] [Abstract][Full Text] [Related]
13. Waist-to-hip ratio is a better screening measure for cardiovascular risk factors than other anthropometric indicators in Tehranian adult men.
Esmaillzadeh A; Mirmiran P; Azizi F
Int J Obes Relat Metab Disord; 2004 Oct; 28(10):1325-32. PubMed ID: 15314626
[TBL] [Abstract][Full Text] [Related]
14. Optimal cut-off values of anthropometric markers to predict hypertension in North Indian population.
Gupta S; Kapoor S
J Community Health; 2012 Apr; 37(2):441-7. PubMed ID: 21858688
[TBL] [Abstract][Full Text] [Related]
15. The relationship between asthma symptoms and anthropometric markers of overweight in a Hispanic population.
Del-Rio-Navarro BE; Fanghänel G; Berber A; Sánchez-Reyes L; Estrada-Reyes E; Sienra-Monge JJ
J Investig Allergol Clin Immunol; 2003; 13(2):118-23. PubMed ID: 12968396
[TBL] [Abstract][Full Text] [Related]
16. Relationship of anthropometric indicators with blood pressure levels in rural Wardha.
Deshmukh PR; Gupta SS; Dongre AR; Bharambe MS; Maliye C; Kaur S; Garg BS
Indian J Med Res; 2006 May; 123(5):657-64. PubMed ID: 16873908
[TBL] [Abstract][Full Text] [Related]
17. A comparison of anthropometric indices for predicting hypertension and type 2 diabetes in a male industrial population of Chennai, South India.
Kaur P; Radhakrishnan E; Sankarasubbaiyan S; Rao SR; Kondalsamy-Chennakesavan S; Rao TV; Gupte MD
Ethn Dis; 2008; 18(1):31-6. PubMed ID: 18447096
[TBL] [Abstract][Full Text] [Related]
18. Anthropometric predictors for the risk of chronic disease in non-diabetic, non-hypertensive young Mexican women.
Neufeld LM; Jones-Smith JC; García R; Fernald LC
Public Health Nutr; 2008 Feb; 11(2):159-67. PubMed ID: 17601359
[TBL] [Abstract][Full Text] [Related]
19. A comparison of body mass index and waist-to-hip ratio as indicators of hypertension risk in an urban Argentine population: a hospital-based study.
Feldstein CA; Akopian M; Olivieri AO; Kramer AP; Nasi M; Garrido D
Nutr Metab Cardiovasc Dis; 2005 Aug; 15(4):310-5. PubMed ID: 16054556
[TBL] [Abstract][Full Text] [Related]
20. Prediction of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropometric indexes in Hong Kong Chinese.
Ko GT; Chan JC; Cockram CS; Woo J
Int J Obes Relat Metab Disord; 1999 Nov; 23(11):1136-42. PubMed ID: 10578203
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
